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Salary: USD 137,300 - 176,610 / annual
Vuori is seeking a Senior Data Modeler to design and govern data models that serve as the foundation for analytics, reporting, and business intelligence across the organization, with particular depth in semantic and metrics-layer modeling.
You will build the semantic layer that sits between raw data and downstream consumers (dashboards, reverse-ETL syncs, AI-assisted querying), working closely with data engineers, analysts, and business stakeholders to keep definitions consistent everywhere they're used.
Key responsibilities include:
- Contributing to semantic layer strategy by defining metrics, dimensions, and business logic once so they're consistent across BI tools, reverse-ETL syncs, and AI-assisted querying
- Designing serving-layer models as the "source of truth" for business definitions, resolving ambiguity before it reaches dashboards
- Building and governing semantic views/metrics layers (e.g., Snowflake semantic views, dbt metrics/semantic layer) that let analysts and AI tools query curated data without re-deriving business logic
- Partnering directly with analytics and BI consumers to understand how models get used downstream and iterating on semantic definitions based on real query patterns
- Reducing metric drift by auditing existing reports/dashboards for divergent definitions of the same business concept and consolidating them into governed semantic models
Vuori is an athletic apparel company redefining casual-aesthetic activewear designed for movement and everyday life, drawing inspiration from an active coastal California lifestyle.
REQUIREMENTS:
- 5+ years of experience in data modeling or a related field, including experience operating at a senior or technical lead level
- Experience designing or maintaining a semantic layer or metrics layer (e.g., dbt Semantic Layer, LookML, Snowflake semantic views, Cube) that serves multiple downstream consumers
- Strong point of view on the difference between a data model and a semantic model, and how to design for both correctness and analyst usability
- Advanced SQL skills and deep understanding of relational database design
- Experience modeling data within modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Experience working with transformation frameworks such as dbt
- Strong understanding of data governance, metadata management, and documentation practices
- Excellent communication skills, with the ability to translate business needs into technical designs and explain technical concepts to non-technical stakeholders
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience preferred
PREFERRED QUALIFICATIONS:
- Foundational background in dimensional modeling (Kimball and/or Inmon)
- Experience with data catalog or governance tools (e.g., Collibra, Alation, Atlan)
- Familiarity with data mesh or data product concepts
- Background in a specific industry domain relevant to the business (e.g., finance, healthcare, retail)
